{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T06:22:12Z","timestamp":1692512532655},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T00:00:00Z","timestamp":1581379200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T00:00:00Z","timestamp":1581379200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s11280-019-00767-w","type":"journal-article","created":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T08:02:36Z","timestamp":1581408156000},"page":"1197-1216","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fault tolerant data transmission reduction method for wireless sensor networks"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8067-2568","authenticated-orcid":false,"given":"Gaby Bou","family":"Tayeh","sequence":"first","affiliation":[]},{"given":"Abdallah","family":"Makhoul","sequence":"additional","affiliation":[]},{"given":"Jacques","family":"Demerjian","sequence":"additional","affiliation":[]},{"given":"Christophe","family":"Guyeux","sequence":"additional","affiliation":[]},{"given":"Jacques","family":"Bahi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,11]]},"reference":[{"key":"767_CR1","unstructured":"Matlab simulator. https:\/\/github.com\/BouTayehGaby\/Matlab-Simulator---Fault-Tolerant-Data-Transmission-Reduction"},{"key":"767_CR2","doi-asserted-by":"crossref","unstructured":"Aderohunmu, F.A., Paci, G., Brunelli, D., Deng, J.D., Benini, L., Purvis, M.: An Application-Specific Forecasting Algorithm for Extending Wsn Lifetime. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems, pp. 374\u2013381 (2013)","DOI":"10.1109\/DCOSS.2013.51"},{"issue":"4","key":"767_CR3","doi-asserted-by":"publisher","first-page":"1996","DOI":"10.1109\/COMST.2014.2320099","volume":"16","author":"MA Alsheikh","year":"2014","unstructured":"Alsheikh, M.A., Lin, S., Niyato, D., Tan, H.P.: Machine learning in wireless sensor networks: algorithms, strategies, and applications. IEEE Commun. Surv. Tutorial. 16(4), 1996\u20132018 (2014)","journal-title":"IEEE Commun. Surv. Tutorial."},{"key":"767_CR4","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.jnca.2016.12.027","volume":"80","author":"MM Alves","year":"2017","unstructured":"Alves, M.M., Pirmez, L., Rossetto, S., Delicato, F.C., de Farias, C.M., Pires, P.F., dos Santos, I.L., Zomaya, A.Y.: Damage prediction for wind turbines using wireless sensor and actuator networks. J. Netw. Comput. Appl. 80, 123\u2013140 (2017)","journal-title":"J. Netw. Comput. Appl."},{"key":"767_CR5","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-642-25462-8_4","volume-title":"Informatics Engineering and Information Science","author":"Reza Askari Moghadam","year":"2011","unstructured":"Askari Moghadam, R., Keshmirpour Mehrnaz, e.M.A., Sahibuddin, S., Ahmad, R., Mohd Daud, S., El-Qawasmeh, E.: Hybrid ARIMA and Neural Network Model for Measurement Estimation in Energy-Efficient Wireless Sensor Networks, pp. 35\u201348. Springer, Berlin (2011)"},{"issue":"1","key":"767_CR6","first-page":"2:1","volume":"9","author":"A Basheer","year":"2017","unstructured":"Basheer, A., Sha, K.: Cluster-based quality-aware adaptive data compression for streaming data. J. Data Inf. Qual. 9(1), 2:1\u20132:33 (2017)","journal-title":"J. Data Inf. Qual."},{"issue":"1","key":"767_CR7","doi-asserted-by":"publisher","first-page":"1:1","DOI":"10.1145\/2994150","volume":"12","author":"MZA Bhuiyan","year":"2017","unstructured":"Bhuiyan, M.Z.A., Wu, J., Wang, G., Wang, T., Hassan, M.M.: e-sampling: Event-sensitive autonomous adaptive sensing and low-cost monitoring in networked sensing systems. ACM Trans. Auton. Adapt. Syst. 12(1), 1:1\u20131:29 (2017). https:\/\/doi.org\/10.1145\/2994150","journal-title":"ACM Trans. Auton. Adapt. Syst."},{"issue":"6","key":"767_CR8","doi-asserted-by":"publisher","first-page":"261381","DOI":"10.1155\/2015\/261381","volume":"11","author":"T Du","year":"2015","unstructured":"Du, T., Qu, Z., Guo, Q., Qu, S.: A high efficient and real time data aggregation scheme for wsns. Int. J. Distrib. Sens. Netw. 11(6), 261381 (2015)","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"767_CR9","unstructured":"Gao, Z., Cheng, W., Qiu, X., Meng, L.: A missing sensor data estimation algorithm based on temporal and spatial correlation. Int. J. Distrib. Sen. Netw., pp. 178:178\u2013178:178 (2016)"},{"key":"767_CR10","doi-asserted-by":"crossref","unstructured":"Gruenwald, L., Yang, H., Sadik, M.S., Shukla, R.: Using data mining to handle missing data in multi-hop sensor network applications. Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access, pp. 9\u201316 (2010)","DOI":"10.1145\/1850822.1850825"},{"key":"767_CR11","doi-asserted-by":"crossref","unstructured":"Guestrin, C., Bodik, P., Thibaux, R., Paskin, M., Madden, S.: Distributed Regression: an Efficient Framework for Modeling Sensor Network Data. In: Third International Symposium on Information Processing in Sensor Networks, pp. 1\u201310 (2004)","DOI":"10.1145\/984622.984624"},{"key":"767_CR12","doi-asserted-by":"publisher","first-page":"259","DOI":"10.2528\/PIERB08122303","volume":"12","author":"MN Halgamuge","year":"2009","unstructured":"Halgamuge, M.N., Zukerman, M., Ramamohanarao, K., Vu, H.L.: An estimation of sensor energy consumption. Progress Electromagn. Res. 12, 259\u2013295 (2009)","journal-title":"Progress Electromagn. Res."},{"issue":"2","key":"767_CR13","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1109\/TII.2017.2776082","volume":"14","author":"H Harb","year":"2018","unstructured":"Harb, H., Makhoul, A.: Energy-efficient sensor data collection approach for industrial process monitoring. IEEE Trans. Indust. Inf. 14(2), 661\u2013672 (2018)","journal-title":"IEEE Trans. Indust. Inf."},{"issue":"3","key":"767_CR14","doi-asserted-by":"publisher","first-page":"689","DOI":"10.3390\/s18030689","volume":"18","author":"M Lemos","year":"2018","unstructured":"Lemos, M., Rab\u00ealo, R., de Carvalho, C., Mendes, D., Costa, V., et al.: An energy-efficient approach to enhance virtual sensors provisioning in sensor clouds environments. Sensors 18(3), 689 (2018)","journal-title":"Sensors"},{"key":"767_CR15","doi-asserted-by":"publisher","unstructured":"Li, G., Wang, Y.: Automatic arima modeling-based data aggregation scheme in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking (1), 85. https:\/\/doi.org\/10.1186\/1687-1499-2013-85 (2013)","DOI":"10.1186\/1687-1499-2013-85"},{"key":"767_CR16","doi-asserted-by":"crossref","unstructured":"Li, J., McCann, J., Pollard, N., Faloutsos, C.: Dynammo: Mining and summarization of coevolving sequences with missing values. ACM SIGKDD, pp. 527\u2013534. (CMU-RI-TR-) (2009)","DOI":"10.1145\/1557019.1557078"},{"issue":"6","key":"767_CR17","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1007\/s11280-017-0509-2","volume":"21","author":"X Liu","year":"2018","unstructured":"Liu, X., Liu, Y., Xie, Q., Li, L., Li, Z.: A potential-based clustering method with hierarchical optimization. World Wide Web 21(6), 1617\u20131635 (2018)","journal-title":"World Wide Web"},{"key":"767_CR18","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-3-319-57186-7_27","volume-title":"Green, Pervasive, and Cloud Computing","author":"Leonardo C. Monteiro","year":"2017","unstructured":"Monteiro, L.C., Delicato, F.C., Pirmez, L., Pires, P.F., Miceli, C.: Dpcas: Data Prediction with Cubic Adaptive Sampling for Wireless Sensor Networks. In: Au, M. H. A., Castiglione, A., Choo, K. K. R., Palmieri, F., Li, K. C. (eds.) Green, Pervasive, and Cloud Computing, pp 353\u2013368. Springer International Publishing, Cham (2017)"},{"key":"767_CR19","unstructured":"Neto, A.R., Soares, B., Barbalho, F., Santos, L., Batista, T., Delicato, F.C., Pires, P.F.: Classifying Smart Iot Devices for Running Machine Learning Algorithms. In: 45 Semin\u00e1rio Integrado De Software E Hardware 2018 (SEMISH 2018), vol. 45. SBC, Porto Alegre (2018)"},{"key":"767_CR20","doi-asserted-by":"crossref","unstructured":"Pan, L., Gao, H., Li, J., Gao, H., Guo, X.: Ciam: an Adaptive 2-In-1 Missing Data Estimation Algorithm in Wireless Sensor Networks. In: 19Th IEEE International Conference on Networks (ICON), pp. 1\u20136 (2013)","DOI":"10.1109\/ICON.2013.6781986"},{"issue":"8","key":"767_CR21","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1109\/TKDE.2015.2411594","volume":"27","author":"U Raza","year":"2015","unstructured":"Raza, U., Camerra, A., Murphy, A.L., Palpanas, T., Picco, G.P.: Practical data prediction for real-world wireless sensor networks. IEEE Trans. Knowl. Data Eng. 27(8), 2231\u20132244 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"5","key":"767_CR22","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1016\/j.comnet.2012.01.014","volume":"56","author":"Atslands R. Rocha","year":"2012","unstructured":"Rocha, A.R., Pirmez, L., Delicato, F.C., Rico Lemos, Santos, I., Gomes, D.G., de Souza, J.N.: Wsns clustering based on semantic neighborhood relationships. Comput. Netw. 56(5), 1627\u20131645 (2012)","journal-title":"Computer Networks"},{"key":"767_CR23","unstructured":"Santini, S., R\u00f6mer, K.: An adaptive strategy for quality-based data reduction in wireless sensor networks. In: Proceedings of the 3rd International Conference on Networked Sensing Systems, pp. 29\u201336 (2006)"},{"issue":"12","key":"767_CR24","doi-asserted-by":"publisher","first-page":"5046","DOI":"10.1109\/JSEN.2016.2546839","volume":"16","author":"C Sarkar","year":"2016","unstructured":"Sarkar, C., Rao, V.S., Prasad, R.V., Das, S.N., Misra, S., Vasilakos, A.: Vsf: an energy-efficient sensing framework using virtual sensors. IEEE Sens. J. 16 (12), 5046\u20135059 (2016)","journal-title":"IEEE Sens. J."},{"issue":"4","key":"767_CR25","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1111\/j.1467-9892.1982.tb00349.x","volume":"3","author":"RH Shumway","year":"1982","unstructured":"Shumway, R.H., Stoffer, D.S.: An approach to time series smoothing and forecasting using the em algorithm. J. Time Ser. Anal. 3(4), 253\u2013264 (1982)","journal-title":"J. Time Ser. Anal."},{"issue":"6","key":"767_CR26","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1109\/JSEN.2015.2504106","volume":"16","author":"L Tan","year":"2016","unstructured":"Tan, L., Wu, M.: Data reduction in wireless sensor networks: a hierarchical lms prediction approach. IEEE Sens. J. 16(6), 1708\u20131715 (2016)","journal-title":"IEEE Sens. J."},{"key":"767_CR27","doi-asserted-by":"crossref","unstructured":"Tayeh, G. B., Makhoul, A., Demerjian, J., Laiymani, D.: A New Autonomous Data Transmission Reduction Method for Wireless Sensors Networks. In: 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), pp. 1\u20136 (2018)","DOI":"10.1109\/MENACOMM.2018.8371030"},{"issue":"6","key":"767_CR28","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1007\/s11280-017-0510-9","volume":"21","author":"R Wang","year":"2018","unstructured":"Wang, R., Ji, W., Song, B.: Durable relationship prediction and description using a large dynamic graph. World Wide Web 21(6), 1575\u20131600 (2018)","journal-title":"World Wide Web"},{"issue":"6","key":"767_CR29","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1007\/s11280-018-0622-x","volume":"21","author":"G Wen","year":"2018","unstructured":"Wen, G., Zhu, Y., Cai, Z., Zheng, W.: Self-tuning clustering for high-dimensional data. World Wide Web 21(6), 1563\u20131573 (2018)","journal-title":"World Wide Web"},{"issue":"99","key":"767_CR30","first-page":"1","volume":"PP","author":"H Wu","year":"2017","unstructured":"Wu, H., Wang, J., Suo, M., Mohapatra, P.: A holistic approach to reconstruct data in ocean sensor network using compression sensing. IEEE Access PP(99), 1\u20131 (2017)","journal-title":"IEEE Access"},{"key":"767_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.comcom.2018.09.007","volume":"132","author":"H Wu","year":"2018","unstructured":"Wu, H., Xian, J., Wang, J., Khandge, S., Mohapatra, P.: Missing data recovery using reconstruction in ocean wireless sensor networks. Comput. Commun. 132, 1\u20139 (2018)","journal-title":"Comput. Commun."},{"issue":"Supplement C","key":"767_CR32","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1016\/j.ins.2015.10.004","volume":"329","author":"M Wu","year":"2016","unstructured":"Wu, M., Tan, L., Xiong, N.: Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications. Inf. Sci. 329(Supplement C), 800\u2013818 (2016)","journal-title":"Inf. Sci."},{"key":"767_CR33","doi-asserted-by":"crossref","unstructured":"Yang, J., Tilak, S., Rosing, T. S.: An Interactive Context-Aware Power Management Technique for Optimizing Sensor Network Lifetime. In: SENSORNETS, pp. 69\u201376 (2016)","DOI":"10.5220\/0005728600690076"},{"key":"767_CR34","doi-asserted-by":"crossref","unstructured":"Zhao, J., Govindan, R.: Understanding packet delivery performance in dense wireless sensor networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, SenSys \u201903, 1-13. ACM, New York (2003)","DOI":"10.1145\/958491.958493"},{"issue":"6","key":"767_CR35","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1007\/s11280-017-0438-0","volume":"20","author":"C Zong","year":"2017","unstructured":"Zong, C., Yang, X., Wang, B., Liu, C.: Minimal explanations of missing values by chasing acquisitional data. World Wide Web 20(6), 1333\u20131362 (2017)","journal-title":"World Wide Web"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00767-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-019-00767-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00767-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T06:48:10Z","timestamp":1612939690000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-019-00767-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,11]]},"references-count":35,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["767"],"URL":"https:\/\/doi.org\/10.1007\/s11280-019-00767-w","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,11]]},"assertion":[{"value":"24 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}
